In future, we will apply other ALFRED modeling approaches [1]}, [2]}, [3]}, [4]} to the EDH and TfD Follower model benchmarks.
However, TEACh requires learning several different tasks, all of which are more complex than the simple tasks in ALFRED.
Models enabling few shot generalization to new tasks will be critical for TEACh Follower agents.
For Commander models, a starting point would be to train a Speaker model [5]} on TEACh sessions.
We are excited to explore human-in-the-loop evaluation of Commander and Follower models developed for TATC.
